diff --git a/marcia/sampler.py b/marcia/sampler.py
index 0e96442..14047be 100644
--- a/marcia/sampler.py
+++ b/marcia/sampler.py
@@ -72,30 +72,26 @@ def sampler(self,reset=False):
                         print(f'Converged at iteration {sampler.iteration}')
                         break
                     old_tau = tau
-                return sampler
             else:
                 sampler.run_mcmc(self.sampler_pos(), self.max_n, progress=True)
-                return sampler
         else:
             if reset:
                 print(f'Reseting sampling from iteration: {last_iteration}')
                 self.HDFBackend.reset(self.nwalkers, self.ndim)
                 return self.sampler()
             print(f'Already completed {last_iteration} iterations')
-            return self.HDFBackend
 
     def get_burnin(self):
-        if self.converge:
-            tau = self.sampler().get_autocorr_time()
-            burnin = int(2 * np.max(tau))
-            thin = int(0.5 * np.min(tau))
-        else:
-            burnin = 50
-            thin = 1
+        tau = self.HDFBackend.get_autocorr_time()
+        burnin = int(2 * np.max(tau))
+        thin = int(0.5 * np.min(tau))
         return burnin, thin
 
-    def get_chain(self, getdist=False,reset=False):
-        sampler = self.sampler(reset=reset)
+    def get_chain(self, getdist=False):
+        sampler = self.HDFBackend
+        if sampler.iteration < self.max_n:
+            print(f'Only {sampler.iteration} iterations completed')
+            print(f'You should run the sampler to finsih the sampling of {self.max_n} iterations')
         burnin, thin = self.get_burnin()
         samples = sampler.get_chain(discard=burnin, thin=thin, flat=True)
         if getdist: